Due to increasing use by civil and federal authorities and vast commercial and amateur applications, Unmanned Aerial Systems (UAS) will be introduced into the National Air Space (NAS); the question is only how we can do this safely. NASA and the FAA are designing a new automated air traffic control system (NextGen) for all aircraft, manned or unmanned. New algorithms and tools need to be developed to enable computation of the complex questions inherent in designing such a system while proving adherence to rigorous safety standards.

Embedded Real Time Software and Systems ( ERTS2 2018)

The ERTS2 congress created by the late Jean-Claude Laprie in 2002 is a unique European cross sector event on Embedded Software and Systems, a platform for top-level scientists with representatives from universities, research centres, agencies and industries. The previous editions gathered more than 100 talks, 500 participants and 60 exhibitors. ERTS2 is both:

Direct digital manufacturing (DDM) is the practice of creating a physical part directly from a computer-aided design (CAD) model with minimal process planning. DDM is typically applied in additive manufacturing (AM) processes, which offer rapid implementation and the ability to produce complex geometry. However, the treatment of subtractive manufacturing (SM) in the context of DDM is still lacking. SM is a decades- old process that is responsible for the production of many parts in the world today. SM and AM have distinct advantages and disadvantages.

Additive layer manufacturing has been termed as one of the proponents of the fourth industrial revolution. However, due to the presence of cyber and physical domain components in additive manufacturing, they are prone to physical-to-cyber domain attacks. One of the example of such attacks is side-channel attacks, where an attacker can steal valuable intellectual property of the 3D objects being printed by the additive manufacturing system. To understand and defend these attacks, we have to analyze all the possible side-channels and minimize the amount of leakage in each of them.

The timely and accurate in-service identification of faults in mechanical structures, such as airplanes, can play a vitally important role in avoiding catastrophes. One major challenge, however, is that the sensing system relies on high frequency signals, the coordination of which is difficult to achieve throughout a large structure. To tackle this fundamental issue, the research team will take advantage of 3D printing technology to fabricate integrated sensor-structure components.